• DocumentCode
    3122160
  • Title

    Hybrid Control Techniques for the Design of Industrial Controllers

  • Author

    Engell, Sebastian ; Stursberg, Olaf

  • Author_Institution
    Process Control Laboratory (BCI-AST), University of Dortmund, 44221 Dortmund, Germany. Email: s.engell@bci.uni-dortmund.de
  • fYear
    2005
  • fDate
    12-15 Dec. 2005
  • Firstpage
    5612
  • Lastpage
    5617
  • Abstract
    This tutorial paper provides an overview of where techniques based on hybrid dynamic models are suitable or promising for designing controllers of industrial plants, in particular chemical processing systems. After summarizing the typical control tasks prevalent in the hierarchical automation structure of industrial plants, the paper focusses on two techniques employing hybrid models that recently have gained much attention by the research community: the algorithmic verification of safety-related discrete controls, and the optimal control of large transitions, like startup, shutdown, or product switch-over.
  • Keywords
    Automation; Hybrid Dynamics; Optimal Control; Safety; Supervisory Control; Verification; Automatic control; Chemical processes; Control systems; Industrial control; Industrial plants; Optimal control; Process control; Protection; Safety; Sequences; Automation; Hybrid Dynamics; Optimal Control; Safety; Supervisory Control; Verification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
  • Print_ISBN
    0-7803-9567-0
  • Type

    conf

  • DOI
    10.1109/CDC.2005.1583056
  • Filename
    1583056